Catchpoint is launching new monitoring capabilities to provide new ways for IT teams to detect and prevent AI performance issues.
The new AI Assistant Reliability Monitoring solution detects issues that affect AI APIs, LLMs, and chatbots.
It tests AI endpoints across over 100 countries to detect DNS, routing, or regional outages. It also includes the ability to track response times, synthetic prompt monitoring, uptime and error detection, and visual dependency mapping.
The other new solution, Agentic AI Resilience Monitoring, provides visibility into the dependencies AI workflows rely on, such as APIs, networks, cloud services, and third-party tools.
Key features include API monitoring, multi-hop dependency visibility to find the root cause of cascading failures, CI/CD monitoring automation, the ability to mitigate risks associated with specific cloud regions, and global performance testing.
“AI assistants and agentic agents are only as reliable as the networks and APIs they depend on,” said Mehdi Daoudi, CEO of Catchpoint. “Our new capabilities give organizations the visibility they need to ensure AI resilience, reduce downtime, and deliver exceptional digital experiences, enabling IT organizations to innovate as they build the future.”
